Brain tumor diagnosis at an early stage can improve the chances of successful treatment
and better patient outcomes. In the biomedical industry, non-invasive diagnostic procedures …

The segmentation of lungs from medical images is a critical step in the diagnosis and
treatment of lung diseases. Deep learning techniques have shown great promise in …

A brain tumor is an unnatural expansion of brain cells that can't be stopped, making it one of
the deadliest diseases of the nervous system. The brain tumor segmentation for its earlier …

Apple foliar diseases are a group of diseases that affect the leaves of apple trees. These
diseases can significantly impact apple tree health and fruit yield. Ordinary apple foliar …

Although it is a difficult undertaking, using Convolutional Neural Networks (CNN) to detect
brain tumors from MRI images has the potential to significantly improve patient outcomes …

Humans mostly use their eyes to perceive the outside environment. Human-computer
interaction is a typical application for eye gaze monitoring. It is becoming more and more …

The categorization of X-ray images using Convolutional Neural Networks (CNN) is a crucial
step in the investigation of medical imaging. To help with illness diagnosis and therapy, this …

With the rapid development of the Internet of Things (IoT), a massive number of smart
devices are deployed in industry and critical infrastructures. Nowadays, IoT smart devices …

The recommendation system is one of the bigger developments brought about by machine
learning in the machine-human interactions. In practically every area, including …

Skin contributes significantly to controlling body temperature, through sweating and dilation
or spasm of blood vessels in response to external temperature changes. It also helps to …